论文信息 - Improved Algorithm for the W-Transform in Variance Component Estimation

Improved Algorithm for the W-Transform in Variance Component Estimation

The W transformation greatly reduces the computational bruden in obtaining maximum likelihood estimates for the mixed A.O.V. model. However, effective optimization methods for maximizing the likelihood must comptlte the matrix W at each iteration. This paper develops an efficient Cholesky type algorithm for forming W.

W. J. Hemmerle | W. Hemmerle | J. Lorens | J. A. Lorens

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